（更多成果见个人主页https://mingyangyi.github.io/）
代表性论文：
*表示共同一作，?表示通讯作者
[1] Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
Mingyang Yi*?, Aoxue Li*, Yi Xin*, Zhenguo Li
38th Conference on Neural Information Processing Systems (NeurIPS 2024, CCF-A)
[2] V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
Yi Xin*, Siqi Luo*, Xuyang Liu*, Haodi Zhou, Xinyu Cheng, Christina Luoluo Lee, Junlong Du, Yuntao Du., Haozhe Wang, MingCai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu
38th Conference on Neural Information Processing Systems (NeurIPS 2024, CCF-A)
[3] SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Shuchen Xue, Mingyang Yi?, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
37th Conference on Neural Information Processing Systems (NeurIPS 2023, CCF-A)
[4] Breaking Correlation Shift via Conditional Invariant Regularizer
Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
11th International Conference on Learning Representations (ICLR 2023，清华A类)
[5] Towards the Generalization of Contrastive Self-supervised Learning
Weiran Huang*, Mingyang Yi*, Xuyang Zhao*, Zihao Jiang
11th International Conference on Learning Representations (ICLR 2023，清华A类)
[6] Characterization of Excess Risk for Locally Strongly Convex Population Risk
Mingyang Yi*, Ruoyu Wang*, Zhi-Ming Ma
36th Conference on Neural Information Processing Systems (NeurIPS 2022, CCF-A)
[7] Accelerating Training of Batch Normalization: A Manifold Perspective
Mingyang Yi
38th Uncertainty in Artificial Intelligence (UAI 2022，CCF-B).
[8] Out-of-distribution Generalization with Causal Invariant Transformations
Ruoyu Wang*, Mingyang Yi*, Zhitang Chen, Shengyu Zhu
40th Computer Vision and Pattern Recognition (CVPR 2022，CCF-A)
[9] Improved OOD Generalization via Adversarial Training and Pre-training
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
38th International Conference on Machine Learning (ICML 2021，CCF-A)
[10] Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
9th International Conference on Learning Representations (ICLR 2021，清华A类)
[11] BN-invariant Sharpness Regularizes the Training Model to Better Generalization
Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
29th International Joint Conference on Artificial Intelligence (IJCAI 2019，CCF-A)
[12] Stablize Deep ResNets with A Sharp Scaling au
Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu
Journal of Machine Learning (CCF-B)
[13] Improving Deep Learning by Regularized Scale-Free MSE of Representations
Xufang Luo, Mingyang Yi, Yunhong Wang
26th International Conference on Neural Information Processing (ICONIP 2019)
